ETL - Learn Data Science with Travis

What is ETL?

Towards Data Science

ETL (Extract-Load-Transform) is the most widespread approach to data integration, the practice of consolidating data from disparate source systems with the aim of improving access to data. The story…

What’s ETL?

Towards Data Science

ETL stands for Extract - Transform - Load, it involves moving data from one or more sources, making some changes, then loading it into single destination.

ETL Using Luigi

Analytics Vidhya

In computing, extract, transform, load ( ETL) is the general procedure of copying data from one or more sources into a destination system which represents the data differently from the source (s) or…

What is ETL (Extract, Transform, Load)?

Python in Plain English

Let’s understand the importance of ETL. Figure 1: Image by Hands off my tags! Michael Gaida from Pixabay Introduction ETL became popular in the 1970s as companies started storing business data in nume...

A new contender for ETL in AWS?

Towards Data Science

ETL — or Extract, Transform, Load — is a common pattern for processing incoming data. It allows efficient use of resources by bunching the “transform” into a single bulk operation, often making it…

A guide to ETL Testing

Analytics Vidhya

Even though the above diagram is a bit of simplification, this is how most ETL workflows may look like. To put simply, ETL is an automated process to move data from source systems to target systems…

Building a ETL pipeline

Analytics Vidhya

An ETL (Data Extraction, Transformation, Loading) pipeline is a set of processes used to Extract, Transform, and Load data from a source to a target. The source of the data can be from one or many…

Python ETL Tools: Best 8 Options

Towards Data Science

ETL is the process of fetching data from one or many systems and loading it into a target data warehouse after doing some intermediate transformations. The market has various ETL tools that can carry…...

Transitioning from ETL to ELT

Towards Data Science

ETL (Extract-Transform-Load) and ELT (Extract-Load-Transform) are two terms commonly used in the realm of Data Engineering and more specifically in the context of data ingestion and transformation. Wh...

Best Practices — Creating An ETL Part 1

Towards Data Science

An ETL (and it’s not so far off cousin ELT) is a concept that is not usually taught in college, at least not in undergrad courses. Yet, ELTs play an important piece of almost every company’s day to…

Talking To My Nana About ETL/ELT

Analytics Vidhya

Either ETL (Extract, Transform, Load) or ELT (Extract, Load, Transform) are processing step to get data clean and rigorous from sources — it can be a structured SQL or unstructured NoSQL — before…

ETL vs ELT vs Streaming ETL

Towards Data Science

Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) are two fundamental concepts in the context of data processing, used to describe data ingestion and transformation design paradigms. W...